Lead AI Engineer

About this role:

At Wells Fargo, we are looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Wells Fargo is seeking a highly skilled and motivated Lead AI Engineer to spearhead the development and implementation of cutting-edge Generative AI solutions. This role will focus on leveraging advanced Retrieval-Augmented Generation (RAG) techniques and Agentic AI Automation to build intelligent, innovative, and impactful applications. The ideal candidate will possess a strong background in AI/ML, a deep understanding of generative models, and proven experience in leading technical projects. You will be responsible for guiding a team of engineers, driving technical direction, and ensuring the successful delivery of high-quality AI solutions.

Learn more about the career areas and lines of business at wellsfargojobs.com.

In this role, you will:

• Lead the design, development, and deployment of Generative AI solutions using state-of-the-art RAG and Agentic AI Automation techniques.
• Architect and implement RAG pipelines that effectively retrieve, process, and integrate relevant information from diverse data sources to enhance the performance of generative models.
• Design and build Agentic AI systems that can autonomously perform complex tasks, learn from experience, and adapt to changing environments.
• Lead a team of AI engineers, providing technical guidance, mentorship, and support to foster a collaborative and high-performing environment.
• Conduct research and experimentation to identify and evaluate new AI technologies and techniques that can improve the capabilities of our Generative AI solutions.
• Collaborate with product managers, data scientists, and other stakeholders to define project requirements, develop technical specifications, and ensure alignment with business goals.
• Develop and maintain robust testing and validation procedures to ensure the quality, reliability, and security of AI solutions.
• Monitor and analyze the performance of AI systems, identifying areas for improvement and implementing optimization strategies.
• Stay up-to-date with the latest advancements in Generative AI, RAG, and Agentic AI Automation, and share knowledge with the team.
• Contribute to the development of intellectual property through patents, publications, and open-source contributions.
• Communicate complex technical concepts clearly and effectively to both technical and non-technical audiences.

• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 7+ years of experience in developing and deploying AI/ML solutions in a production environment.
• 3+ years of experience specifically working with Generative AI models (e.g., large language models, diffusion models).
• Strong understanding of RAG techniques and experience building RAG pipelines using tools and frameworks such as LangChain, LlamaIndex, or similar.
• Experience with Agentic AI Automation and building autonomous AI systems.
• Proficiency in programming languages such as Python, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Transformers).
• Experience with cloud computing platforms such as AWS, Azure, or GCP.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Experience with version control systems (e.g., Git).

• Experience with fine-tuning and customizing large language models.
• Experience with deploying AI models using containerization technologies (e.g., Docker, Kubernetes).
• Experience with MLOps practices and tools.
• Experience with building and deploying AI solutions for Financial Services.
• Experience with knowledge graphs and semantic technologies.
• Familiarity with prompt engineering techniques.
• Experience with AI safety and ethical considerations.

• Work from core locations at least 3 days a week
• Willing to travel as needed for business purposes
• Relocation assistance is not available for this position

• 300 S Brevard St, Charlotte, North Carolina

• Information about Wells Fargo's US employee benefits
• Information about Wells Fargo's International employee benefits